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ÁRVORE MODELO FRENTE A UMA REDE NEURAL ARTIFICIAL PARA A MODELAGEM CHUVA-VAZÃO
(Universidade Federal de Mato Grosso, 2019)
Comparison of adaptive neuro-fuzzy inference system and recurrent neural network in vertical total electron content forecasting
(Springer, 2019-12)
Accurate prediction of total electron content (TEC) is important for monitoring the behavior of the ionosphere and indeed a magnitude of interest to understand the properties and behavior of the Sun–Earth System. The ...
Optimized Multilayer perceptron for the geographical and genotypic classification of four genotypes of arabica coffee
(Universidade Tecnológica Federal do Paraná (UTFPR), 2013)
Predicting average regional yield and production of wheat in the Argentine Pampas by an artificial neural network approach
(Elsevier Science, 2009-02)
A regional analysis of the effects of soil and climate factors on wheat yield was performed in the Argentine Pampas in order to obtain models suitable for yield estimation and regional grain production prediction. Soil ...
Accurate total solar irradiance estimates under irradiance measurements scarcity scenarios
(Springer, 2019-09)
Accurate estimates of total global solar irradiance reaching the Earth’s surface are relevant since routine measurements are not always available. This work aimed to determine which of the models used to estimate daily ...
A metamodel-based optimization approach to reduce the weight of composite laminated wind turbine blades
(Elsevier, 2018-06)
In wind turbine blades, the complex resultant geometry due to the aerodynamic design cannot be modified in the successive mechanical design stage. Hence, the reduction of the weight and manufacturing costs of the blades ...
Improved atomistic Monte Carlo models based on ab-initio -trained neural networks: Application to FeCu and FeCr alloys
(American Physical Society, 2017-06)
We significantly improve the physical models underlying atomistic Monte Carlo (MC) simulations, through the use of ab initio fitted high-dimensional neural network potentials (NNPs). In this way, we can incorporate energetics ...
Modelling climate change impacts on anchovy and sardine landings in northern Chile using ANNs
(Pontificia Universidad Católica de Valparaíso, 2017)
Generación dinámica de la topología de una red neuronal artificial del tipo perceptron multicapaDynamic topology generation of an artificial neural network of the multilayer perceptron type
(Universidad de Antioquia, Facultad de IngenieríaGrupo de Manejo Eficiente de la Energía (GIMEL)Medellín, Colombia, 2021)